Looking for your next opportunity or tips for sprucing up your online presence 🌟? This can help by providing tips and best practices for building out your GitHub profile.
How to make your GitHub profile stand out:

●Add a clear photo that shows your face. 💁🏽‍♀️

●Write a concise bio that not only explains what you do but also what you can offer. 🫴

●Use your profile’s README to showcase your personality. 💅

●Pin quality repositories to your profile page. 📌 These can be your own projects, popular repositories, or ones you’ve significantly contributed to.
More tips on how to glitz up your Github profile and advance your career: More Tips

@TechInEthio
#tips #recommendations #github

Gemini 1.5 Pro is now available with all new audio + video understanding and some new cool features. Read Blog Post Here
@TechInEthio
#Ai

Stanford University, Harvard University & Massachusetts Institute of Technology is providing free courses.💥
Click On to Access👇

1. CS50’s Introduction to Artificial Intelligence with Python (Harvard)


2. Data Science: Machine Learning (Harvard)


3. Artificial Intelligence (MIT)


4. Introduction to Computational Thinking and Data Science (MIT)


5. Machine Learning (MIT)

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@TECHINETHIO
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Web language and year they begin
@techinethio

Lack of customer data is major obstacle in reaping rewards of AI Readmore

@TechInEthio
#backend #frontend #programming

📚 9 Essential Books for Beginners in Machine Learning 🤖📖

Are you interested in diving into the fascinating world of machine learning? Here are nine highly recommended books that offer beginner-friendly introductions to machine learning concepts and techniques:

1. 📘 The Hundred-Page Machine Learning Book by Andriy Burkov: This concise guide provides a comprehensive overview of machine learning algorithms, concepts, and practical applications.

2. 📚 Machine Learning For Absolute Beginners by Oliver Theobald: A beginner's guide that introduces fundamental machine learning concepts and techniques in an accessible and easy-to-understand manner.

3. 💻 Machine Learning for Hackers by Drew Conway and John Myles White: This book focuses on practical applications of machine learning, showcasing real-world examples and demonstrating how to implement machine learning algorithms using popular programming languages.

4. 🖥️ Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Geron Aurelien: This hands-on guide teaches machine learning using popular Python libraries, providing practical examples and step-by-step tutorials.

5. 🧠 Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville: An in-depth exploration of deep learning techniques, covering neural networks, convolutional networks, recurrent networks, and more.

6. 📊 An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani: This book offers an introduction to statistical learning methods with a focus on applied aspects of machine learning, covering key algorithms and concepts.

7. 💡 Programming Collective Intelligence by Toby Segaran: A comprehensive guide that demonstrates how to use machine learning algorithms in practical scenarios, with examples focusing on social media, recommendation systems, and search engines.

8. 📈 Fundamentals of Machine Learning for Predictive Data Analytics by John D. Kelleher, Brian Mac Namee, and Aoife D’Arcy: This book provides a solid foundation in machine learning concepts, including data preprocessing, feature selection, and evaluation techniques.

9. 🌟 Machine Learning for Humans by Vishal Maini and Samer Sabri: A beginner-friendly introduction to machine learning that covers key concepts, algorithms, and practical use cases, without assuming prior technical knowledge.

Happy reading and exploring the exciting field of machine learning! 🚀
@TechInEthio
#books #programming #ai #recommendations

Udio an AI tech company just released a preview to show off their new technology that generates songs solely based on a text prompt.
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@TechInEthio
#news #ai

The only PHP and Laravel courses I would recommend are these free courses from Laracast.

You first learn modern PHP with this course
http://phpforbeginners.com

Then you learn Laravel with this course
http://laravelfromscratch.com

Done.

The only thing you ever need besides this is the Laravel official documentation for references, Laravel news to keep you up to date, and Laracon for inspiration.